Ethiopia - Mortality rate, infant (per 1,000 live births)

The value for Mortality rate, infant (per 1,000 live births) in Ethiopia was 35.40 as of 2020. As the graph below shows, over the past 54 years this indicator reached a maximum value of 147.20 in 1966 and a minimum value of 35.40 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.

Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.

See also:

Year Value
1966 147.20
1967 146.90
1968 146.60
1969 146.40
1970 146.10
1971 145.90
1972 145.60
1973 145.40
1974 145.30
1975 145.20
1976 145.00
1977 144.70
1978 144.10
1979 143.30
1980 142.10
1981 140.60
1982 138.60
1983 136.20
1984 133.70
1985 131.30
1986 129.00
1987 126.80
1988 124.60
1989 122.30
1990 119.80
1991 117.10
1992 114.20
1993 111.00
1994 107.40
1995 103.90
1996 100.40
1997 96.90
1998 93.60
1999 90.30
2000 87.20
2001 83.80
2002 80.30
2003 76.70
2004 73.10
2005 69.50
2006 66.10
2007 62.80
2008 59.80
2009 57.00
2010 54.30
2011 51.90
2012 49.50
2013 47.30
2014 45.20
2015 43.20
2016 41.30
2017 39.50
2018 38.00
2019 36.60
2020 35.40

Development Relevance: Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.

Limitations and Exceptions: Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.

Statistical Concept and Methodology: The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A "complete" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data. Estimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development ac

Classification

Topic: Health Indicators

Sub-Topic: Mortality